傳統的二維自動光學檢測（Automatic Optical Inspection)，通常僅能檢測物件表面缺陷。而內部瑕疵，需透過X 射線電腦斷層掃瞄法（Computer Tomography)進行三維結構的影像重建，進而判斷缺陷。
常見的重建方法有兩類， 一類為濾波逆投影法（ Filtered
Back-Projection，FBP)，另一類為代數重建法（Algebraic ReconstructionTechnique，ART)。在投影數較少時，利用ART 所得影像要比利用FBP 好的多，但是，因ART 影像重建的速度太慢，在運算速度上無法達到使用者的需求。
為了要加速運算，本研究將評估採用硬體架構進行管線化
(Pipeline)處理之可行性。先對ART 演算法，進行軟體C 程式的分析，評估其硬體設計所需的記憶體空間及資料流量，進而以Verilog 硬體設計語言，模擬使用硬體管線化處理後，對演算法加速的效果。
此硬體架構對一重建區 61 x 61 x 33 Voxels 和感測器大小181 x 181 的灰階影像進行影像重建。在100MHz 的工作時脈下，只需約0.77秒的運算時間。而Matlab 平台上模擬則需要5100 秒[1]，才能完成全部的運算。因此本論文所提之架構的模擬速度比Matlab 平台上快了6623 倍。此硬體架構將提供使用者更高的使用彈性。

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